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News and research notes

Corporate announcements and technical notes from our research activity.

TÜBİTAK and KOSGEB support for AI projects: comparing 1501, 1507, 1707 and 1711
Guide

TÜBİTAK and KOSGEB support for AI projects: comparing 1501, 1507, 1707 and 1711

The right programme depends on who does the R&D: your own team, an SME supplier or a consortium. Support rates, limits, open calls and the KOSGEB programmes that are often confused.

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The new Machinery Regulation and machine learning: for manufacturers using AI in safety functions
AI Security & Privacy

The new Machinery Regulation and machine learning: for manufacturers using AI in safety functions

The rules that the EU and Turkish machinery regulations applying from 20 January 2027 set for machine learning: which components are in scope, conformity assessment, logging and boundary requirements, and model updates.

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Can you run ChatGPT in-house? A decision guide to KVKK and on-premise LLMs
Generative AI & LLMs

Can you run ChatGPT in-house? A decision guide to KVKK and on-premise LLMs

The difference between an enterprise service, a cloud API and an in-house installation, the order KVKK sets out when personal data leaves Türkiye, and the technical components of an on-premise language model.

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The current EU AI Act timeline: what Turkish manufacturers need to be ready for, and when
AI Security & Privacy

The current EU AI Act timeline: what Turkish manufacturers need to be ready for, and when

The dates changed by the Omnibus regulation, how the Act reaches companies outside the EU, which industrial systems count as high-risk, and what that means on the engineering side.

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Machine vision quality control: from feasibility to the production line
Computer Vision

Machine vision quality control: from feasibility to the production line

The defect catalogue, the smallest defect size, lighting, the problem of few defective samples, the balance between missed defects and false rejects, and line integration: the questions we ask in order on a visual inspection project.

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Why Turkish evaluation sets are a problem in their own right
Generative AI & LLMs

Why Turkish evaluation sets are a problem in their own right

Why we build our Turkish evaluation sets from scratch, the fundamental problems with machine-translated sets, and how domain terminology distorts measurement.

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A technical assessment for your AI project

Your project's feasibility, risks and timeline are assessed in a technical consultation.